{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import some libraries, set parameters, and load text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import gensim # vectorization library\n",
    "from gensim import corpora\n",
    "from sklearn.manifold import TSNE\n",
    "import re\n",
    "from nltk.corpus import stopwords\n",
    "import numpy as np\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#parameters\n",
    "MIN = 5\n",
    "METHOD = 'skg'\n",
    "STOPWORDS = True\n",
    "SIZE = 10000\n",
    "DIM = 768 #same as transformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('../data/reddit_batch1/batch.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####random shuffle and truncate until 'size' sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = df.sample(frac=1).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.iloc[0:SIZE]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "data: batch from reddit "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "nn = df['topic'].unique().shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = set(stopwords.words('english'))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#removes blanks, stopwords and non alphanumeric\n",
    "def clean_sen(sent):\n",
    "    if STOPWORDS == True:\n",
    "        clean_list = [word.lower() for word in sent.split() if word not in stop_words]\n",
    "    else:\n",
    "        clean_list = [word.lower() for word in sent.split()]\n",
    "    #clean_list = [re.sub('[^A-Za-z]','',word) for word in clean_list]\n",
    "    clean_list = [re.sub('[\\W_]+','',word) for word in clean_list]\n",
    "    clean_list = [re.sub(' +', ' ', word) for word in clean_list]\n",
    " \n",
    "    return clean_list\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre1= []\n",
    "for i in df.sentence:\n",
    "    clean = clean_sen(i)\n",
    "    if len(clean) > MIN:\n",
    "        pre1.append(clean)\n",
    "       \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word2vec "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gensim.models import Word2Vec\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Word2Vec(size=DIM,min_count=MIN,sg=0) if METHOD == 'CBOW' else Word2Vec(size=DIM,min_count=MIN,sg=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.build_vocab(sentences=pre1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8433513, 9889700)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.train(pre1,epochs=50,total_examples=model.corpus_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "vecs = model.wv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function to random sample n words from dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nn=15\n",
    "top=15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sample(vecs,nn,top):\n",
    "    words_cl = []\n",
    "    emb_cl = []\n",
    "    voc = vecs.index2word\n",
    "    for i in range(nn):        \n",
    "        pre_words_cl=[]\n",
    "        pre_emb_cl =[]\n",
    "        choice = np.random.randint(0,len(voc))\n",
    "        w = voc[choice]\n",
    "        simil = vecs.most_similar(w,topn=top)\n",
    "        for sim in simil:\n",
    "            \n",
    "            pre_words_cl.append(sim[0])\n",
    "            pre_emb_cl.append(vecs[sim[0]])\n",
    "        words_cl.append(pre_words_cl)\n",
    "        emb_cl.append(pre_emb_cl)\n",
    "    return words_cl, emb_cl\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "words_cl,emb_cl = sample(vecs,nn,top)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### function to plot tsne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "%matplotlib inline\n",
    "\n",
    "def plotsne(words,embs,perp):\n",
    "    \n",
    "    embs1 = np.array(embs).reshape(nn*top,DIM) ### reshape to nrandom*topn,DIM\n",
    "    tsne_2d = TSNE(perplexity=perp, n_components=2, init='pca', n_iter=3500, random_state=32)\n",
    "    emb_2d = np.array(tsne_2d.fit_transform(np.array(embs1)))    \n",
    "    \n",
    "    plt.figure(figsize=(16, 9))\n",
    "    space = np.expand_dims(np.linspace(0,1,nn),axis=1)\n",
    "    colors = cm.rainbow(space)\n",
    "    \n",
    "    \n",
    "    \n",
    "    j = 0\n",
    "    jj = 0\n",
    "    for clust in words:\n",
    "        \n",
    "        for i in clust:\n",
    "\n",
    "            plt.annotate(i,xy=(emb_2d[j][0],emb_2d[j][1]),size=8,alpha=0.5)\n",
    "       \n",
    "            plt.scatter(emb_2d[j,0],emb_2d[j,1],alpha=0.8,c=colors[jj])\n",
    "            j+=1\n",
    "        jj += 1\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotsne(words_cl,emb_cl,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
